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» D-HOTM: distributed higher order text mining
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ICDM
2008
IEEE
142views Data Mining» more  ICDM 2008»
13 years 11 months ago
Unsupervised Face Annotation by Mining the Web
Searching for images of people is an essential task for image and video search engines. However, current search engines have limited capabilities for this task since they rely on ...
Duy-Dinh Le, Shin'ichi Satoh
ICPP
2006
IEEE
13 years 11 months ago
Parallel Information Extraction on Shared Memory Multi-processor System
Text Mining is one of the best solutions for today and the future’s information explosion. With the development of modern processor technologies, it will be a mass market deskto...
Jiulong Shan, Yurong Chen, Qian Diao, Yimin Zhang
VC
2010
168views more  VC 2010»
12 years 12 months ago
From sentence to emotion: a real-time three-dimensional graphics metaphor of emotions extracted from text
This paper presents a novel concept: a graphical representation of human emotion extracted from text sentences. The major contributions of this paper are the following. First, we p...
Stéphane Gobron, Junghyun Ahn, Georgios Pal...
KDD
2002
ACM
130views Data Mining» more  KDD 2002»
14 years 5 months ago
Learning domain-independent string transformation weights for high accuracy object identification
The task of object identification occurs when integrating information from multiple websites. The same data objects can exist in inconsistent text formats across sites, making it ...
Sheila Tejada, Craig A. Knoblock, Steven Minton
ICDM
2007
IEEE
133views Data Mining» more  ICDM 2007»
13 years 11 months ago
Topical N-Grams: Phrase and Topic Discovery, with an Application to Information Retrieval
Most topic models, such as latent Dirichlet allocation, rely on the bag-of-words assumption. However, word order and phrases are often critical to capturing the meaning of text in...
Xuerui Wang, Andrew McCallum, Xing Wei